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    ICEMBDA

    Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27–29, 2023, Tianjin, China

    The 4th International Conference on Economic Management and Big Data Applications was successfully held in Tianjin, China from October 27th to 29th, 2023. This conference served as a platform for researchers, scholars, and industry professionals to exchange knowledge and insights in the field of ec…

    The 4th International Conference on Economic Management and Big Data Applications was successfully held in Tianjin, China from October 27th to 29th, 2023. This conference served as a platform for researchers, scholars, and industry professionals to exchange knowledge and insights in the field of economic management and the application of big data. The conference held great significance in advancing the understanding and application of economic management and big data. By bringing together experts from around the globe, the conference facilitated the exchange of innovative ideas and research findings, contributing to the development of these fields. The topics covered during the conference showcased the latest advancements and trends in enterprise economic statistics, information evaluation, blockchain technology, industrial structure optimization, information retrieval, data regression analysis, intelligent Internet of Things platforms, and data encryption.

    The discussions and presentations during the conference allowed participants to explore new methodologies, strategies, and technologies that can enhance economic management practices and leverage the potential of big data. The conference provided a platform for scholars and practitioners to share their experiences, insights, and best practices, fostering collaboration and networking opportunities.

    Furthermore, the proceedings were published, ensuring the dissemination of valuable research findings to a wider audience. The collective knowledge and research presented at the conference will contribute to the academic community, industry professionals, and policymakers, enabling them to make informed decisions and develop effective strategies in the fields of economic management and big data applications.

    Overall, the 4th International Conference on Economic Management and Big Data Applications played a pivotal role in promoting knowledge exchange, fostering innovation, and shaping the future of economic management by harnessing the power of big data.

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    Editor(s): Jianguo Liu (Shanghai University of Finance and Economics, China), Haifeng Li (Dalian Jiaotong University, China) and Sikandar Ali Qalati (Jiangsu University, China)
    Publisher
    EAI
    ISBN
    978-1-63190-444-8
    ISSN
    2593-7642
    Series
    CORE
    Conference dates
    27th–29th Oct 2023
    Location
    Tianjin, People's Republic of China
    Appeared in EUDL
    2024-01-19

    Copyright © 2024–2025 EAI

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    • Exploring the Reinvention of Macao's Urban Image through Text Analysis Based on Online Travel Platforms

      Research Article in Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27–29, 2023, Tianjin, China

      Chifong Tang
    • Managers' Overconfidence and ESG Performance: a Study on the Effects of Corporate Internal Governance

      Research Article in Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27–29, 2023, Tianjin, China

      Qin Yue, Meng Yan, Chunan Yue
    • Research on Compensation Mechanism for Two-Stage Delayed Delivery Problems Based on Whole Vehicle Logistics

      Research Article in Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27–29, 2023, Tianjin, China

      Lei Zhou, Xiaonan Sun
    • Research on Coupling Coordination and Barrier Degree of Digital Economy and Rural E-commerce in Zhejiang Province under High Quality Development

      Research Article in Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27–29, 2023, Tianjin, China

      Fang Zhang, Xinyu Sun
    • Research on Modeling of Multi — vehicle Supply Chain Logistics Transportation Scheduling Based on Improved Ant Colony Algorithm

      Research Article in Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27–29, 2023, Tianjin, China

      Yutao Zhou
    • Research on Value Co-Creation Behavior and Its Influence on Consumers' Purchase Intention in User-Generated Content Communities

      Research Article in Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27–29, 2023, Tianjin, China

      Wenbo Ma, Yaxin Lu
    • Research on the Application of Value-Added Services for Power Enterprise Data Based on Precise Data Ownership Confirmation Theory

      Research Article in Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27–29, 2023, Tianjin, China

      Jizhen Li, Yong Deng, Hong Zhong
    • Research on the Impact of Digital Financial Inclusion on Regional Economic Growth

      Research Article in Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27–29, 2023, Tianjin, China

      Ping Mei, Xu Cheng
    • Research on the Impact of Enterprise ESG Performance on Audit Opinions

      Research Article in Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27–29, 2023, Tianjin, China

      Liying Zheng, Runhua Peng, Linrong Wu
    • Research on the Impact of Social Responsibility of Construction Companies on Corporate Performance

      Research Article in Proceedings of the 4th International Conference on Economic Management and Big Data Applications, ICEMBDA 2023, October 27–29, 2023, Tianjin, China

      Luqi Zhang
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